CHRIST CUx

Skills

Our curriculum matches modern standard practices to provide exceptional training milestones.

Learning Outcomes

Our curriculum matches modern standard practices to provide exceptional training milestones.

Python Programming Fundamentals

Understand the core concepts of Python programming, including syntax, variables, functions, and control structures for genomic data analysis.

CORE KNOWLEDGE

Genomic Data Processing

Develop Python scripts to process genomic sequences efficiently while performing essential bioinformatics data manipulation and analysis tasks.

PRACTICAL LEARNING

Data Structures and Functions

Apply appropriate Python data structures and reusable functions to organize, process, and analyze biological datasets effectively and accurately.

PROGRAMMING SKILLS

Sequence Analysis Techniques

Perform sequence analysis using Python to identify patterns, compare genomic data, and solve fundamental bioinformatics research problems.

BIOINFORMATICS

Computational Problem Solving

Develop logical programming solutions for genomic challenges by applying algorithmic thinking and efficient coding practices in Python.

ANALYTICAL THINKING

Applied Bioinformatics with Python

Build practical bioinformatics applications by integrating Python programming techniques with genomic analysis for real-world scientific research.

INDUSTRY READINESS

ELIGIBILITY CRITERIA

UG/PG students, Research scholars, Life science professionals and beginners interested in learning Python

Course Instructor

Expert guidance from acclaimed industry professional leaders.

Dr Vijay Arputharaj

Assistant Professor

Dr. Vijay Arputharaj J is an Associate Professor with over 15 years of teaching and research experience. His expertise includes Python, genomics, bioinformatics, AI, and digital learning. He has published 20+ research papers, authored book chapters, and developed innovative micro-credential courses

Program Overview

Academic Curriculum

A meticulous, guided learning path engineered to transform your cloud engineering expertise.

Module 01

Introduction to Python

Module 02

Python Fundamentals

Module 03

Genomic Data Representation

Module 04

Functions in Python

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Sania Fathima

MBA

“The course provided useful knowledge and insights related to the subject. The content was informative and relevant, and it helped me gain a better understanding of the concepts covered.”

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Kaushik Vallioor Sankaran

MBA

“I thoroughly enjoyed the Micro Credential course. It was direct and very informative.”

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Adrija Roy

MBA

“The modules were structured in a simple and accessible way, making the concepts easy to understand even without prior knowledge of the topic. The workbooks provided valuable hands-on practice, and the course was an enriching learning experience that helped me build practical skills and confidence.”

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Xavier Amith J

MCA

“The hands-on demonstrations and coding sessions were my favourite part. Overall, it was a valuable learning experience that helped me learn beyond the classroom, explore a new area, and become more curious about what AI can do.”

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M A Lekshmi Narayanan

BCom

“It was interesting to learn about a new topic which was predominant in the world. The videos were short and kept me engaged throughout the course.”

Python for Genomics

Overview

Credentials and Certification

Students exploring industry-relevent skills

Professionals planning to upskill and reskill

Faculty building digital deployment literacy

Course Menu

COURSE DELIVERY